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Jail Time Threatened for Courtroom AI Pioneer

Dr. Lisa PalmerJanuary 28, 20233 min read
3 min read
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What If We ONLY Had AI in Our Courtrooms?

In the same knee-jerk reaction demonstrated by many in our education community who have banned ChatGPT, the anticipated DoNotPay "robot lawyer" will not have the opportunity to perform in a courtroom.

Many will applaud this ousting of emerging technology from US courtrooms. But there is a case to be made otherwise. In fact, let us debate fully AI-enabled courtrooms.

What if we placed ONLY artificial intelligence, prosecution, defense, and juries, in our courtrooms?

Wealth Impacts Courtroom Outcomes

Wealth in the United States impacts courtroom outcomes. Those with little financial resources experience higher rates of incarceration and longer sentences.

  • Data shows that about 88% of defendants with public attorneys are convicted.
  • Data also shows that as much as 77% of defendants with private attorneys are convicted.

What accounts for this +11% variance that punishes the impoverished?

If decades of courtroom television dramas have taught us anything, it is that the tenure and education of private attorneys often far surpass what comparatively limited public defender budgets provide in legal talent equity.

So, if the courtroom expertise of for-hire private attorneys contributes to these statistics, then arming both prosecution and defense with precisely the same AI would lead to more equitable conviction rates.

Is Wealth Always a Courtroom Benefit?

In short, no. Activist juries, frustrated by uber-wealthy defendants who flaunt their wealth, have convicted defendants despite insufficient evidence.

If AI is emotionless, these defendants would experience more "fair" outcomes from an AI jury that was trained to only consider the facts.

What Impacts Would Be Created?

Highly knowledgeable subject matter experts would inform every component of these AI systems. Instead of actively arguing inside of courtrooms, new roles would be created for trained human legal talent focused on creating truly equitable outcomes through these systems.

Talent diversity for those team members responsible for AI system building, monitoring, and maintenance would be critical. Ensuring that those from every type of diversity were engaged in these systems would elevate the likelihood of equitability of outcomes created by them.

Norms and processes would be challenged. Would defendants need to be physically present in courtrooms or simply have their cases virtually adjudicated? Would we still need massive physical courtroom buildings for taxpayers to fund? Could judges oversee 100x more cases? How could taxpayer-funded public defender budgets be reallocated, perhaps to mental health support? Would the right to a "speedy trial" actually become a reality?

Closing Thoughts

This is not a claim that AI is ready for the level of responsibility outlined here, and the only viable near-term approach is human + AI scenarios. As we all await the standard technology time-lag for the legal system to catch up to what is already possible with AI, everyone should rethink what is possible.


Dr. Lisa Palmer
Dr. Lisa Palmer

CEO & Co-Founder

Lisa wrote the book on AI adoption, literally. Her Wiley-published research, the largest qualitative study of enterprise AI adoption, shapes the frameworks neurocollective uses to help organizations move past AI ambition into measurable outcomes.

Research, AI Leadership